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arabert_cross_vocabulary_task5_fold5

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  1. README.md +35 -38
README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: arabert_cross_vocabulary_task5_fold4
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # arabert_cross_vocabulary_task5_fold4
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5724
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- - Qwk: 0.8274
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- - Mse: 0.5724
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  ## Model description
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@@ -45,39 +45,36 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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- | No log | 0.0323 | 2 | 4.0786 | -0.0202 | 4.0786 |
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- | No log | 0.0645 | 4 | 2.3283 | 0.0109 | 2.3283 |
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- | No log | 0.0968 | 6 | 1.2785 | 0.2841 | 1.2785 |
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- | No log | 0.1290 | 8 | 0.8433 | 0.4083 | 0.8433 |
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- | No log | 0.1613 | 10 | 1.0059 | 0.5899 | 1.0059 |
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- | No log | 0.1935 | 12 | 1.1298 | 0.6125 | 1.1298 |
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- | No log | 0.2258 | 14 | 0.8824 | 0.7014 | 0.8824 |
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- | No log | 0.2581 | 16 | 0.9194 | 0.7028 | 0.9194 |
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- | No log | 0.2903 | 18 | 0.9116 | 0.7100 | 0.9116 |
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- | No log | 0.3226 | 20 | 0.6668 | 0.7739 | 0.6668 |
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- | No log | 0.3548 | 22 | 0.4256 | 0.7812 | 0.4256 |
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- | No log | 0.3871 | 24 | 0.4050 | 0.7574 | 0.4050 |
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- | No log | 0.4194 | 26 | 0.5814 | 0.7955 | 0.5814 |
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- | No log | 0.4516 | 28 | 1.0279 | 0.7514 | 1.0279 |
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- | No log | 0.4839 | 30 | 1.0452 | 0.7607 | 1.0452 |
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- | No log | 0.5161 | 32 | 0.7165 | 0.8089 | 0.7165 |
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- | No log | 0.5484 | 34 | 0.4458 | 0.7951 | 0.4458 |
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- | No log | 0.5806 | 36 | 0.3735 | 0.7660 | 0.3735 |
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- | No log | 0.6129 | 38 | 0.3982 | 0.7985 | 0.3982 |
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- | No log | 0.6452 | 40 | 0.5173 | 0.8081 | 0.5173 |
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- | No log | 0.6774 | 42 | 0.7723 | 0.7985 | 0.7723 |
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- | No log | 0.7097 | 44 | 0.9254 | 0.7695 | 0.9254 |
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- | No log | 0.7419 | 46 | 1.0677 | 0.7448 | 1.0677 |
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- | No log | 0.7742 | 48 | 1.0524 | 0.7448 | 1.0524 |
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- | No log | 0.8065 | 50 | 0.9408 | 0.7762 | 0.9408 |
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- | No log | 0.8387 | 52 | 0.8100 | 0.7901 | 0.8100 |
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- | No log | 0.8710 | 54 | 0.7061 | 0.8033 | 0.7061 |
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- | No log | 0.9032 | 56 | 0.6220 | 0.8252 | 0.6220 |
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- | No log | 0.9355 | 58 | 0.5830 | 0.8299 | 0.5830 |
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- | No log | 0.9677 | 60 | 0.5721 | 0.8239 | 0.5721 |
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- | No log | 1.0 | 62 | 0.5724 | 0.8274 | 0.5724 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: arabert_cross_vocabulary_task5_fold5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # arabert_cross_vocabulary_task5_fold5
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3339
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+ - Qwk: 0.8270
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+ - Mse: 0.3339
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0351 | 2 | 3.7424 | 0.0021 | 3.7424 |
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+ | No log | 0.0702 | 4 | 1.7368 | 0.2488 | 1.7368 |
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+ | No log | 0.1053 | 6 | 0.8992 | 0.2497 | 0.8992 |
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+ | No log | 0.1404 | 8 | 0.7327 | 0.6064 | 0.7327 |
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+ | No log | 0.1754 | 10 | 0.8042 | 0.5559 | 0.8042 |
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+ | No log | 0.2105 | 12 | 0.9939 | 0.6771 | 0.9939 |
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+ | No log | 0.2456 | 14 | 0.9616 | 0.6986 | 0.9616 |
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+ | No log | 0.2807 | 16 | 0.8004 | 0.6308 | 0.8004 |
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+ | No log | 0.3158 | 18 | 0.6373 | 0.6016 | 0.6373 |
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+ | No log | 0.3509 | 20 | 0.6361 | 0.6470 | 0.6361 |
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+ | No log | 0.3860 | 22 | 0.5967 | 0.7168 | 0.5967 |
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+ | No log | 0.4211 | 24 | 0.4872 | 0.7622 | 0.4872 |
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+ | No log | 0.4561 | 26 | 0.4462 | 0.7864 | 0.4462 |
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+ | No log | 0.4912 | 28 | 0.4171 | 0.8029 | 0.4171 |
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+ | No log | 0.5263 | 30 | 0.3844 | 0.8207 | 0.3844 |
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+ | No log | 0.5614 | 32 | 0.4099 | 0.8533 | 0.4099 |
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+ | No log | 0.5965 | 34 | 0.4527 | 0.8592 | 0.4527 |
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+ | No log | 0.6316 | 36 | 0.4782 | 0.8573 | 0.4782 |
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+ | No log | 0.6667 | 38 | 0.4629 | 0.8620 | 0.4629 |
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+ | No log | 0.7018 | 40 | 0.3818 | 0.8464 | 0.3818 |
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+ | No log | 0.7368 | 42 | 0.3245 | 0.8055 | 0.3245 |
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+ | No log | 0.7719 | 44 | 0.3187 | 0.7617 | 0.3187 |
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+ | No log | 0.8070 | 46 | 0.3176 | 0.7494 | 0.3176 |
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+ | No log | 0.8421 | 48 | 0.3184 | 0.7414 | 0.3184 |
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+ | No log | 0.8772 | 50 | 0.3131 | 0.7715 | 0.3131 |
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+ | No log | 0.9123 | 52 | 0.3167 | 0.8053 | 0.3167 |
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+ | No log | 0.9474 | 54 | 0.3273 | 0.8208 | 0.3273 |
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+ | No log | 0.9825 | 56 | 0.3339 | 0.8270 | 0.3339 |
 
 
 
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  ### Framework versions